CN114963013A - Management method and system for monitoring urban gas running state based on Internet of things platform - Google Patents
Management method and system for monitoring urban gas running state based on Internet of things platform Download PDFInfo
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- CN114963013A CN114963013A CN202210218244.1A CN202210218244A CN114963013A CN 114963013 A CN114963013 A CN 114963013A CN 202210218244 A CN202210218244 A CN 202210218244A CN 114963013 A CN114963013 A CN 114963013A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D3/00—Arrangements for supervising or controlling working operations
- F17D3/01—Arrangements for supervising or controlling working operations for controlling, signalling, or supervising the conveyance of a product
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/005—Protection or supervision of installations of gas pipelines, e.g. alarm
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
- F17D5/06—Preventing, monitoring, or locating loss using electric or acoustic means
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention provides a management system for monitoring urban gas running state based on an internet of things platform, which comprises a gas pipeline, a sensor module connected with the gas pipeline and a pipeline control module connected with the gas pipeline, wherein the sensor module is used for detecting the running state of the gas pipeline; the cloud computing system comprises a cloud computing module, a transmission module and a background management module. According to the invention, the pressure, temperature and gas leakage concentration data of the gas pipeline are monitored in real time through the sensor module, are transmitted to the cloud computing module through the transmission module for artificial intelligence analysis, and are presented to the staff through the background management module so that the staff can monitor the data change condition, the application range is wide, the monitoring pressure adjustment is convenient and reliable, and the time required for checking the pressure on the use site by manpower is saved.
Description
Technical Field
The invention relates to the technical field of gas equipment, in particular to a management method and a management system for monitoring urban gas running states based on an internet of things platform.
Background
With the rapid development of new technologies, the development of digitization, platform and intelligence has become an important trend in the gas industry, and the production and operation of the gas industry face unprecedented challenges. The construction time of the gas pipe network and the pressure regulating facility is long, the corrosion and the aging are serious, and the major accident risk exists. The traditional gas pipe network and pressure regulating facility have incomplete data, the maintenance of the gas pipe network and the pressure regulating facility is based on manual judgment, the dependence on personnel is strong, and the official network maintenance cost is high; and most of the gas pipe networks are sunk underground, so that the gas pipe networks cannot sense in time, comprehensively and accurately, and the safety cannot be guaranteed.
The prior application number CN201911424204.7 discloses a wireless pressure monitoring system of a gas pressure regulating cabinet, which comprises a wireless pressure sensor, a gateway, a signal base station, a control module, a cloud platform and a management center. The wireless network is covered by the signal base station, so that the wireless pressure sensor, the gateway, the control module, the cloud platform and the management center transmit pressure information through the network, the wireless pressure sensor transmits the changed pressure information to the gateway in a network form, the gateway transmits the pressure information to the cloud platform in an area where the signal base station covers the network, the cloud platform calculates and analyzes the pressure information, and finally transmits the pressure information to the management center, and the pressure information is presented to a worker by the management center so as to monitor the pressure change condition of the worker.
Disclosure of Invention
In order to solve the problems, the invention provides a management method and a management system for monitoring the urban gas running state based on an internet of things platform, so as to more exactly solve the problems.
The invention is realized by the following technical scheme:
the invention provides a management system for monitoring urban gas running state based on an internet of things platform, which comprises a gas pipeline, a sensor module connected with the gas pipeline and a pipeline control module connected with the gas pipeline, wherein the sensor module is used for detecting the running state of the gas pipeline; the system comprises a cloud computing module, a transmission module and a background management module, wherein the sensor module comprises a pressure sensor, a temperature sensor and a gas concentration detection sensor, the information output end of each sensor in the sensor module is connected with the input end of the transmission module, the output end of the transmission module is connected with the input end of the cloud computing module, the sensor module acquires gas pressure data information, temperature data information and external gas concentration information of a gas pipeline, information monitored by the sensor module is transmitted to the cloud computing module by the transmission module, the mobile data network, the local area network and Bluetooth are supported by the network connection mode between the transmission module and the cloud computing module, the cloud computing module is in data connection with the background management module, the cloud computing module transmits the data information to the background management module, the pipeline control module comprises a cut-off valve, a bleeding valve and a valve electric control head, the background management module is in data connection with the valve electric control head through the transmission module, and the instruction information for adjusting the pressure sent by the background management module is sent to the pipeline control module by the transmission module
Further, pressure sensor is two mouthful formula pressure sensor, and two mouthful formula pressure sensor's first input and gas inlet pipe are connected, and two mouthful formula pressure sensor's second input and gas outlet pipe are connected, and temperature sensor connects on the gas pipeline.
Further, the cloud computing module comprises a database and an artificial intelligence analysis unit, gas pressure data information, temperature data information and external gas concentration information of the gas pipeline acquired by the sensor module are transmitted to the artificial intelligence analysis unit, and the artificial intelligence analysis unit is combined with the database to analyze the data information.
Further, artificial intelligence analysis unit includes safe operation analysis unit, maintenance analysis unit and economic dispatch analysis unit as required, safe operation analysis unit is through the real-time supervision to pressure, temperature and outside gas concentration, the pipe network reveals the condition and carries out early warning analysis, maintenance analysis unit introduces maintenance as required on safe operation analysis unit control basis as required, perception equipment is unusual and in time handle in advance through data analysis, economic dispatch analysis unit is to the monitoring of pressure regulating facility running state and operation law analysis, monitoring data and pipe network simulation system linkage, support the wisdom operation.
Further, the sensor module supports data transmission in a communication mode of a 5G narrowband Internet of things NB-IOT, and the background management module is a mobile device, a monitoring platform or a combination of the mobile device and the monitoring platform.
A management method for monitoring urban gas operation state based on an Internet of things platform is applied to a management system and comprises the following steps:
the method comprises the following steps: data monitoring: firstly, data monitoring is carried out on a gas pipeline by a sensor module, gas pressures of a gas inlet pipeline and a gas outlet pipeline are respectively monitored by a double-port pressure sensor in the sensor module, the temperature inside the gas pipeline is monitored by a temperature sensor, and gas concentration information monitoring is carried out on air outside the gas pipeline by a gas concentration detection sensor;
step two: cloud computing analysis: the method comprises the steps that gas pipeline gas pressure data information, temperature data information and external gas concentration information acquired by a sensor module are transmitted to a cloud computing module, an artificial intelligence analysis unit in the cloud computing module is combined with a database to judge whether the data information is qualified or not, and meanwhile monitoring data information and an artificial intelligence analysis result are transmitted to a background management module;
the safety operation analysis unit in the artificial intelligent analysis unit carries out early warning analysis on the leakage condition of the pipe network by monitoring the pressure, the temperature and the external gas concentration in real time, so that safety accidents are effectively prevented;
an on-demand maintenance analysis unit in the artificial intelligence analysis unit introduces on-demand maintenance on the basis of monitoring of the safety operation analysis unit, and senses the abnormality of the equipment in advance through data analysis and processes the abnormality in time;
an economic dispatching analysis unit in the artificial intelligent analysis unit monitors the running state of the pressure regulating facility and analyzes the running rule, fine management of production dispatching is promoted, monitoring data are linked with a pipe network simulation system, the simulation result is more accurate, and intelligent operation is supported;
step three: regulating and controlling: based on cloud computing analysis, an instruction is sent to the pipeline control module, the stop valve and the bleeding valve are automatically opened, closed or closed, the purpose of automatically controlling and adjusting the pressure change of gas in the gas inlet and outlet pipeline is achieved, meanwhile, the sensor module transmits changed monitoring data to the cloud computing module through the transmission module, the monitoring data are recalculated and analyzed through the cloud computing module and are finally transmitted to the background management module, and the monitoring data are displayed to workers through the background management module so that the workers can monitor the data change situation.
The invention has the beneficial effects that:
1. according to the invention, the pressure, temperature and gas leakage concentration data of the gas pipeline are monitored in real time through the sensor module, are transmitted to the cloud computing module through the transmission module for artificial intelligence analysis, and are presented to the staff through the background management module so that the staff can monitor the data change condition, the application range is wide, the monitoring pressure adjustment is convenient and reliable, and the time required for checking the pressure on the use site by manpower is saved.
2. The safety operation analysis unit in the artificial intelligent analysis unit carries out early warning analysis on the leakage condition of the pipe network by monitoring the pressure, the temperature and the external gas concentration in real time, so that safety accidents are effectively prevented; the on-demand maintenance analysis unit introduces on-demand maintenance on the basis of monitoring of the safety operation analysis unit, and senses the abnormality of the equipment in advance through data analysis and processes the abnormality in time; the economic dispatching analysis unit monitors the running state of the pressure regulating facility and analyzes the running rule, fine management of production dispatching is promoted, monitoring data are linked with a pipe network simulation system, the simulation result is more accurate, and intelligent operation is supported.
Drawings
FIG. 1 is a schematic network connection diagram of a management system for monitoring urban gas operation state based on an Internet of things platform according to the invention;
fig. 2 is a linear graph of the relationship between pressure, temperature anomaly and occurrence time of the management system for monitoring the urban gas operation state based on the internet of things platform.
Detailed Description
In order to more clearly and completely describe the technical scheme of the invention, the invention is further described with reference to the accompanying drawings.
Referring to fig. 1, the present invention provides a management system for monitoring an operating state of an urban gas based on an internet of things platform, including a gas pipeline, a sensor module connected to the gas pipeline, and a pipeline control module connected to the gas pipeline; the system comprises a cloud computing module, a transmission module and a background management module, wherein the sensor module comprises a pressure sensor, a temperature sensor and a gas concentration detection sensor, the information output end of each sensor in the sensor module is connected with the input end of the transmission module, the output end of the transmission module is connected with the input end of the cloud computing module, the sensor module acquires gas pressure data information, temperature data information and external gas concentration information of a gas pipeline, information monitored by the sensor module is transmitted to the cloud computing module by the transmission module, the network connection mode between the transmission module and the cloud computing module supports a mobile data network, a local area network and Bluetooth, the cloud computing module is in data connection with the background management module, the cloud computing module transmits the data information to the background management module, the pipeline control module comprises a stop valve, a bleeding valve and a valve electric control head, after the pressure data of the pipeline are analyzed by cloud computing, the pipeline control module responds, and the stop valve and the bleeding valve are automatically opened, closed or closed, so that the pressure change of gas in the gas inlet and outlet pipeline is automatically controlled and adjusted. The background management module is in data connection with the valve electric control head through the transmission module, and the instruction information of pressure regulation sent by the background management module is sent to the pipeline control module through the transmission module.
The pressure sensor is a double-port pressure sensor, the double-port pressure sensor adopts a double-port pressure sensor with the model of MB-TQ211-Ex, is used for detecting the pressure and the temperature of the gas pressure regulating cabinet, can detect an outlet and an inlet in a colleague way, and can perform temperature compensation calculation; the first input end of the double-port pressure sensor is connected with a gas inlet pipeline, the second input end of the double-port pressure sensor is connected with a gas outlet pipeline, the temperature sensor is connected to the gas pipeline, two links of an inlet and an outlet of the gas pipeline can be monitored simultaneously, sub-high pressure, medium pressure and low pressure monitoring is provided, the double-port pressure sensor is applied to low pressure pipeline monitoring of less than 1.6MPa, medium pressure pipeline monitoring of 1.6-6.4MPa and high pressure pipeline monitoring of 10-42 MPa.
The cloud computing module comprises a database and an artificial intelligence analysis unit, gas pressure data information, temperature data information and external gas concentration information of a gas pipeline acquired by the sensor module are transmitted to the artificial intelligence analysis unit, the artificial intelligence analysis unit is combined with the database to judge whether the analyzed data information is qualified or not, corresponding gas types and gas pressure interval standards thereof are preset in the database according to different detection applications of high, medium and low pressure pipelines, the gas types comprise natural gas, artificial gas, liquefied petroleum gas, methane and the like, the gas pressure detected by the pressure sensor is kept in the corresponding pressure standard interval and is kept in a stable pressure normal state, and otherwise, the problems of gas leakage and the like occur; the temperature detected by the temperature sensor is kept below a preset standard value to be in a normal state, otherwise, high-temperature early warning is generated; and when the gas concentration of the external environment of the gas concentration detection sensor detection pipeline is higher than a preset standard value, gas leakage early warning is generated.
The artificial intelligence analysis unit comprises a safety operation analysis unit, an on-demand maintenance analysis unit and an economic dispatching analysis unit, the safety operation analysis unit carries out early warning analysis on the leakage condition of the pipe network through real-time monitoring on pressure, temperature and external gas concentration, when the detected pressure, temperature and external gas concentration data are abnormal, early warning information is reflected to a background management module, safety accidents are effectively prevented from occurring, the gas pressure detected by the pressure sensor is kept in a corresponding pressure standard interval and is kept in a stable pressure normal state, and otherwise, the problems of gas leakage and the like occur; the temperature detected by the temperature sensor is kept below a preset standard value to be in a normal state, otherwise, high-temperature early warning is generated; when the gas concentration of the external environment of the pipeline detected by the gas concentration detection sensor is higher than a preset standard value, gas leakage early warning is generated; the on-demand maintenance analysis unit introduces on-demand maintenance on the basis of monitoring of the safe operation analysis unit, a linear graph model is generated according to pressure, temperature abnormity and occurrence time detected by the safe operation analysis unit, the abnormity occurrence time is taken as an X axis, the abnormity occurrence frequency is accumulated as a Y axis, the next abnormity occurrence time interval is simulated and calculated, the abnormity of the equipment is sensed in advance through data analysis and is processed in time, and the linear graph model refers to the graph 2.
The economic dispatching analysis unit monitors the running state of the pressure regulating facility and analyzes the running rule, linear prediction simulation is carried out along the running rule based on a linear chart generated by the pressure, temperature abnormity and occurrence time, the next abnormity occurrence time interval is simulated and calculated, the monitoring data is linked with a pipe network simulation system, and intelligent operation is supported.
The sensor module supports the data transmission of a 5G narrowband Internet of things NB-IOT in a communication mode, the speed and the stability of the data transmission are effectively guaranteed, the background management module is mobile equipment, a monitoring platform or the combination of the mobile equipment and the monitoring platform, the regulation of the pressure of a gas inlet and outlet pipeline and the pressure change condition are monitored through the combination of the mobile equipment, the monitoring platform or the mobile equipment and the monitoring platform, the monitoring mode is flexible, workers can check or monitor conveniently at any time, and the intelligent degree is high.
The invention also provides a management method for monitoring the urban gas running state based on the Internet of things platform, which is applied to the management system and comprises the following steps:
the method comprises the following steps: data monitoring: firstly, data monitoring is carried out on a gas pipeline by a sensor module, gas pressures of a gas inlet pipeline and a gas outlet pipeline are respectively monitored by a double-opening type pressure sensor in the sensor module, the temperature inside the gas pipeline is monitored by a temperature sensor, and gas concentration information monitoring is carried out on air outside the gas pipeline by a gas concentration detection sensor;
step two: cloud computing analysis: the method comprises the following steps that gas pressure data information, temperature data information and external gas concentration information of a gas pipeline acquired by a sensor module are transmitted to a cloud computing module, an artificial intelligence analysis unit in the cloud computing module is combined with a database to judge whether the analyzed data information is qualified or not, and meanwhile, monitoring data information and an artificial intelligence analysis result are transmitted to a background management module;
the safety operation analysis unit in the artificial intelligent analysis unit carries out early warning analysis on the leakage condition of the pipe network by monitoring the pressure, the temperature and the external gas concentration in real time, so that safety accidents are effectively prevented;
an on-demand maintenance analysis unit in the artificial intelligence analysis unit introduces on-demand maintenance on the basis of monitoring of the safety operation analysis unit, and senses the abnormality of the equipment in advance through data analysis and processes the abnormality in time;
an economic dispatching analysis unit in the artificial intelligent analysis unit monitors the running state of the pressure regulating facility and analyzes the running rule, fine management of production dispatching is promoted, monitoring data are linked with a pipe network simulation system, the simulation result is more accurate, and intelligent operation is supported;
step three: regulating and controlling: based on cloud computing analysis, an instruction is sent to the pipeline control module, the stop valve and the bleeding valve are automatically opened, closed or closed, the purpose of automatically controlling and adjusting the pressure change of gas in the gas inlet and outlet pipeline is achieved, meanwhile, the sensor module transmits changed monitoring data to the cloud computing module through the transmission module, the monitoring data are recalculated and analyzed through the cloud computing module and are finally transmitted to the background management module, and the monitoring data are displayed to workers through the background management module so that the workers can monitor the data change situation.
According to the invention, the pressure, temperature and gas leakage concentration data of the gas pipeline are monitored in real time through the sensor module, are transmitted to the cloud computing module through the transmission module for artificial intelligence analysis, and are presented to the staff through the background management module so that the staff can monitor the data change condition, the application range is wide, the monitoring pressure adjustment is convenient and reliable, and the time required for checking the pressure on the use site by manpower is saved.
Of course, the present invention may have other embodiments, and based on the embodiments, those skilled in the art can obtain other embodiments without any creative effort, and all of them are within the protection scope of the present invention.
Claims (6)
1. A management system for monitoring urban gas running state based on an Internet of things platform comprises a gas pipeline, a sensor module connected with the gas pipeline and a pipeline control module connected with the gas pipeline; the system is characterized by comprising a cloud computing module, a transmission module and a background management module, wherein the sensor module comprises a pressure sensor, a temperature sensor and a gas concentration detection sensor, the information output end of each sensor in the sensor module is connected with the input end of the transmission module, the output end of the transmission module is connected with the input end of the cloud computing module, the sensor module acquires gas pressure data information, temperature data information and external gas concentration information of a gas pipeline, the monitored information of the sensor module is transmitted to the cloud computing module by the transmission module, a mobile data network, a local area network and Bluetooth are supported by a network connection mode between the transmission module and the cloud computing module, the cloud computing module is in data connection with the background management module, the cloud computing module transmits the data information to the background management module, the pipeline control module comprises a stop valve, The back-stage management module sends out instruction information for adjusting pressure and sends the instruction information to the pipeline control module by the transmission module.
2. The system for monitoring the urban gas operation state based on the internet of things platform according to claim 1, wherein the pressure sensor is a dual-port pressure sensor, a first input end of the dual-port pressure sensor is connected with a gas inlet pipeline, a second input end of the dual-port pressure sensor is connected with a gas outlet pipeline, and the temperature sensor is connected to the gas pipeline.
3. The management system for monitoring the urban gas operation state based on the internet of things platform as claimed in claim 1, wherein the cloud computing module comprises a database and an artificial intelligence analysis unit, the gas pipeline gas pressure data information, the temperature data information and the external gas concentration information acquired by the sensor module are transmitted to the artificial intelligence analysis unit, and the artificial intelligence analysis unit is used for analyzing the data information by combining with the database.
4. The system for managing the urban gas running state based on the internet of things platform monitoring as claimed in claim 3, wherein the artificial intelligence analysis unit comprises a safety operation analysis unit, an on-demand maintenance analysis unit and an economic dispatch analysis unit, the safety operation analysis unit carries out early warning analysis on the leakage condition of the pipe network through real-time monitoring on pressure, temperature and external gas concentration, the on-demand maintenance analysis unit introduces on-demand maintenance on the basis of monitoring of the safety operation analysis unit, the on-demand maintenance analysis unit senses the abnormality of equipment in advance through data analysis and processes the abnormality in time, the economic dispatch analysis unit monitors the running state of the pressure regulating facility and analyzes the running rule, monitoring data are linked with a pipe network simulation system, and intelligent operation is supported.
5. The system for monitoring the urban gas operation state based on the internet of things platform according to claim 1, wherein the sensor module supports data transmission in a communication mode of a 5G narrowband internet of things NB-IOT, and the background management module is a mobile device, a monitoring platform or a combination of the mobile device and the monitoring platform.
6. A management method for monitoring urban gas operation state based on an Internet of things platform is applied to the management system of any one of claims 1-5, and is characterized by comprising the following steps:
the method comprises the following steps: data monitoring: firstly, data monitoring is carried out on a gas pipeline by a sensor module, gas pressures of a gas inlet pipeline and a gas outlet pipeline are respectively monitored by a double-port pressure sensor in the sensor module, the temperature inside the gas pipeline is monitored by a temperature sensor, and gas concentration information monitoring is carried out on air outside the gas pipeline by a gas concentration detection sensor;
step two: cloud computing analysis: the method comprises the steps that gas pipeline gas pressure data information, temperature data information and external gas concentration information acquired by a sensor module are transmitted to a cloud computing module, an artificial intelligence analysis unit in the cloud computing module is combined with a database to judge whether the data information is qualified or not, and meanwhile monitoring data information and an artificial intelligence analysis result are transmitted to a background management module;
the safety operation analysis unit in the artificial intelligent analysis unit carries out early warning analysis on the leakage condition of the pipe network by monitoring the pressure, the temperature and the external gas concentration in real time, so that safety accidents are effectively prevented;
an on-demand maintenance analysis unit in the artificial intelligence analysis unit introduces on-demand maintenance on the basis of monitoring of the safety operation analysis unit, and senses the abnormality of the equipment in advance through data analysis and processes the abnormality in time;
an economic dispatching analysis unit in the artificial intelligent analysis unit monitors the running state of the pressure regulating facility and analyzes the running rule, fine management of production dispatching is promoted, monitoring data are linked with a pipe network simulation system, the simulation result is more accurate, and intelligent operation is supported;
step three: regulating and controlling: based on cloud computing analysis, an instruction is sent to the pipeline control module, the stop valve and the bleeding valve are automatically opened, closed or closed, the purpose of automatically controlling and adjusting the pressure change of gas in the gas inlet and outlet pipeline is achieved, meanwhile, the sensor module transmits changed monitoring data to the cloud computing module through the transmission module, the monitoring data are recalculated and analyzed through the cloud computing module and are finally transmitted to the background management module, and the monitoring data are displayed to workers through the background management module so that the workers can monitor the data change situation.
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